The I Will Help You mental health initiative: A pedagogy for nursing leadership and a call to action for nurses

Past, present and future impact of social media on health workers’ mental health: a text mining approach

Purpose

The COVID-19 epidemic has brought attention to the variables that influence the mental health of health workers who are entrusted with nursing individuals. Despite the fact that many articles have examined the effects of social media usage on mental health, there is a lack of research synthesizing learning from this body of research. The purpose of this study is to use text mining and citation-based bibliometric analysis to conduct a detailed review of extant literature on health workers’ mental health and social networking habits.

Design/methodology/approach

This study conducts a full-text analysis of 36 articles selected on health workers' mental health and social media using text-mining techniques in R programming and a bibliometric citation analysis of 183 papers from the Scopus database in VOS viewer software. But the limitations of the methods used in this study are that the bibliometric analysis was limited to the Scopus database because the VOS viewer program did not support any other database and the text-mining approach caused the natural processing redundancy.

Findings

The bibliometric analysis reveals the thematic networks that exist in the literature of health workers’ mental health and social networking. The findings from text mining identified ten topic models, which helped to find the related papers classified in ten different groups and are provided alongside a summary of the published research and a list of the primary authors with posterior probability through Latent Dirichlet Allocation.

Originality/value

To the best of the authors’ knowledge, this is the first hybrid review, combining text mining and bibliometric review, on health workers’ mental health where social networking plays a moderating role. This paper critically provides an overview of the impact of social networking on health workers' mental health, presents the most important and frequent topics, introduces the scientific visualization of articles published in the Scopus database and suggests further research avenues. These findings are important for academics, health practitioners and medical specialists interested in learning how to better support the mental health of health workers using social media.

Effective online learning strategies for leadership and policy undergraduate courses for nursing students: a rapid review

OBJECTIVES

Due to the importance of developing leadership competencies during nursing education, it is critical to make evidence-based decisions regarding the transformation from face-to-face to online delivery of leadership and policy courses for nursing students in the wake of the COVID-19 pandemic. This rapid review aims to identify effective learning strategies for creating online leadership and policy courses for undergraduate nursing students.

DATA SOURCES AND REVIEW METHODS

A rapid review methodology was used. Searches in CINAHL and ERIC yielded 4112 records. After screening, seven articles were included. The Criteria for Describing and Evaluating Training Interventions in Healthcare Professions (CRe-DEPTH) tool was used for quality appraisal and data extraction. A narrative synthesis approach was used to summarize the data.

RESULTS

The learning activities were heterogeneous in terms of content and format. Articles described the use of discussion forums, case studies, virtual clinical learning experiences, microblogging, and video clips. The methods of evaluation for these learning activities also varied greatly.

CONCLUSION

The findings will act as a steppingstone to help develop an online undergraduate leadership and policy nursing course. This review also demonstrated the need for rigorous evaluation of learning activities. The use of a tool such as the CRe-DEPTH can help instructors plan and report on their learning interventions or courses.